Rajan Saha Raju Rajan-sust

## Dockerfile
$ docker pull mariadb

$ VOLUME=DB

$ docker volume create ${VOLUME}

$ docker run --detach \
  -p 3306:3306 \
  -v ${VOLUME}:/var/lib/mysql \
  --name MariaDB \

## Bn_Most_Frequent_Letter.py
from collections import defaultdict


def get_frequency(char_count, start, end):
    total = sum(x for _, x in char_count.items())
    for value in range(start, end):
        letter = chr(value)
        try:
            print(f'{letter}\t{char_count[letter]}')
        except:

## insertion.cpp
void insertion_sort(vector<int> &v) {
  int n = v.size();
  for(int i = 1; i < n; i++) {
    for(int j = i; j > 0; j--) {
      if(v[j] < v[j-1]) {
        swap(v[j], v[j-1]);
      } else {
        break;
      }
    }

## FastaSelect.py
import argparse
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord


if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('--id_file', required=True,
                        help='file path of ids in text format')
    parser.add_argument('--input', required=True,

## Dockerfile
FROM ubuntu:latest

WORKDIR /app

COPY main.sh .

## sgd.py
from random import random, seed
from datetime import datetime


seed(datetime.utcnow().microsecond)


def main():
    X = list(range(0, 25))
    Y = [*map(lambda x: 2.0 * x + 3, X)]

## dataframe2tsv.py
# Import pandas library
import pandas as pd

# initialize list of lists
data = [['tom', 10], ['nick', 15], ['juli', 14]]

# Create the pandas DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age'])
df.to_csv('filename.tsv', sep = '\t', encoding='utf-8', index=False)

## Dijkstra.cpp
#include <bits/stdc++.h>
using namespace std;

#define debug(x) cout<<#x<<" is "<<endl

using ll = long long;

#define x first
#define y second

## understanding-word-vectors.ipynb

      
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              June 3, 2019 05:36
                — forked from aparrish/understanding-word-vectors.ipynb
            
              
                Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
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## .bashrc
# ~/.bashrc: executed by bash(1) for non-login shells.
# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
# for examples

# If not running interactively, don't do anything
case $- in
    *i*) ;;
      *) return;;
esac
	$ docker pull mariadb

	$ VOLUME=DB

	$ docker volume create ${VOLUME}

	$ docker run --detach \
	-p 3306:3306 \
	-v ${VOLUME}:/var/lib/mysql \
	--name MariaDB \
	from collections import defaultdict


	def get_frequency(char_count, start, end):
	total = sum(x for _, x in char_count.items())
	for value in range(start, end):
	letter = chr(value)
	try:
	print(f'{letter}\t{char_count[letter]}')
	except:
	void insertion_sort(vector<int> &v) {
	int n = v.size();
	for(int i = 1; i < n; i++) {
	for(int j = i; j > 0; j--) {
	if(v[j] < v[j-1]) {
	swap(v[j], v[j-1]);
	} else {
	break;
	}
	}
	import argparse
	from Bio import SeqIO
	from Bio.SeqRecord import SeqRecord


	if __name__ == '__main__':
	parser = argparse.ArgumentParser()
	parser.add_argument('--id_file', required=True,
	help='file path of ids in text format')
	parser.add_argument('--input', required=True,
	from random import random, seed
	from datetime import datetime


	seed(datetime.utcnow().microsecond)


	def main():
	X = list(range(0, 25))
	Y = [map(lambda x: 2.0 x + 3, X)]
	# Import pandas library
	import pandas as pd

	# initialize list of lists
	data = [['tom', 10], ['nick', 15], ['juli', 14]]

	# Create the pandas DataFrame
	df = pd.DataFrame(data, columns = ['Name', 'Age'])
	df.to_csv('filename.tsv', sep = '\t', encoding='utf-8', index=False)
	#include <bits/stdc++.h>
	using namespace std;

	#define debug(x) cout<<#x<<" is "<<endl

	using ll = long long;

	#define x first
	#define y second
	# ~/.bashrc: executed by bash(1) for non-login shells.
	# see /usr/share/doc/bash/examples/startup-files (in the package bash-doc)
	# for examples

	# If not running interactively, don't do anything
	case $- in
	i) ;;
	*) return;;
	esac